Quality of service aware channel quality indicator

ABSTRACT

Systems, methods, and other embodiments associated with a quality of service (QoS) aware channel quality indicator (CQI) are described. In one embodiment, an apparatus includes determination logic configured to receive a request for a CQI. A QoS associated with a wireless channel on which to base the CQI is determined. The determination logic is further configured to compute the CQI based, at least in part, on the determined QoS.

CROSS REFERENCE TO RELATED APPLICATIONS

This disclosure is a continuation of U.S. application Ser. No.12/917,591 filed on Nov. 2, 2010, now U.S. Pat. No. 8,531,982 whichclaims benefit under 35 USC §119(e) to U.S. provisional application Ser.No. 61/259,591 filed on Nov. 9, 2009, both of which are hereby whollyincorporated by reference.

BACKGROUND

Conventionally, a mobile station computes a channel quality indicator(CQI) without considering the quality of service (QoS) present and/oravailable on a wireless channel over which the mobile station and a basestation (BS) communicate. When asked to calculate a CQI, a conventionalmobile station may calculate one modulation and coding scheme (MCS)based on fixed assumptions that may not reflect actual or desiredoperating conditions.

QoS describes desired characteristics for a channel to deliver aspecific type of traffic. Different channels may have different QoS andone channel may even offer different QoS at different times. While CQIrefers to a measurement of the quality of a channel, QoS refers todesired requirements for communication on a channel. QoS can bedescribed using parameters including, but not limited to, a maximumacceptable packet delay, a maximum acceptable packet error loss rate, amaximum acceptable block error rate at the first transmission, and soon. A pair of communicating devices may agree that the pair ofcommunicating devices will strive to achieve the desired QoS.

Different types of traffic may request and/or require different QoS. Forexample, voice communications are tolerant to lost packets butsusceptible to delayed packets. Humans can “fill in the gaps” in a voiceconversation due to lost packets but become frustrated having to waitfor unnatural delays in conversation. Thus, a voice communicationchannel (e.g., VoIP, voice over Internet Protocol) may have a QoS thatspecifies a relatively high maximum acceptable packet loss rate but arelatively low maximum acceptable packet delay. Data communications, onthe other hand, are not very tolerant to lost packets but are tolerantto delayed packets. Computers can assemble packets when the packetsarrive, but computers prefer to assemble correct packets with correctdata. Thus, a data communication channel may have a QoS that specifies arelatively low maximum acceptable packet loss rate but a relatively highmaximum acceptable packet delay.

Different apparatuses that conform with different standards may providedifferent built-in QoS definitions. For example, the 3GPP (thirdgeneration partnership project) defines nine different QoS definitions(QCI1 through QCI9, where QCI stands for QoS Class Identifier) withdifferent packet delay budgets ranging from 50 ms to 300 ms anddifferent packet error loss rates ranging from 10⁻² to 10⁻⁶. Similarly,WiMAX defines five different QoS definitions (e.g., UGS, RT-VR, ERT-VR,NRT-VR, BE). Conventionally, a CQI measurement has been made withoutregard to the QoS in place or desired on the channel being evaluated.Instead, a conventional mobile station may make a CQI calculation basedon channel conditions only, including, for example, path loss, andfrequency selectivity and interference level with specific frequencyreuse factor. Using these channel conditions, the mobile station maycompute the CQI so that a fixed sized packet would have a 10% blockerror rate (BLER). While interesting and useful, this fixed assumptionCQI may be somewhat irrelevant if the base station to which the fixedassumption CQI is provided is configured to provide a different QoS witha different BLER and packet size than those used by the mobile stationin the CQI computation.

A CQI is a measurement of the quality of communication occurring on awireless channel. A high CQI represents a channel with good quality,while a low CQI represents a channel with lower quality. A CQI can becomputed a number of ways and may be based on items including, but notlimited to, a signal to noise ratio (SNR), a signal to interference plusnoise ratio (SINR), a signal to noise plus distortion ratio (SNDR), afinite alphabet capacity (FAC) calculation, a bit error rate (BER), anda block error rate (BLER). CQI messages are sent on a mobilecommunication system to provide a base station with information aboutthe channel quality. A CQI message may carry information including, butnot limited to, a carrier level received signal strength indication(RSSI), a bit error rate (BER), and a recommended transport-block size.The recommended transport-block size may be communicated rather than anobjective measurement of signal quality because the qualities relevantto the channel are the maximum instantaneous data rate on the channeland the error rate associated with that data rate.

Conventional systems may include a base station that makes a CQI requestto a mobile station. The mobile station may then compute a CQI using themobile station's fixed assumptions and provide the CQI to the basestation. The base station may then adapt scheduling and/or modulationbased on the CQI. By way of illustration, a base station may schedulemore traffic on a channel that has a higher CQI and less traffic on achannel that has a lower CQI. Also, a base station may change the basestation's modulation scheme for a channel whose CQI falls below athreshold. While this conventional approach is useful, this conventionalapproach is based on an mobile station making a single CQI determinationbased on generally fixed assumptions at the mobile station. Thus, thesingle CQI determination may not be based on available and relevantinformation.

SUMMARY

In one embodiment, an apparatus includes a determination logicconfigured to receive a request for a CQI. A QoS associated with awireless channel on which to base the CQI is determined. Thedetermination logic is further configured to compute the CQI based, atleast in part, on the determined QoS.

In one embodiment, a method includes receiving a request for a CQI. Themethod also includes determining a QoS associated with a wirelesschannel on which to base the CQI. The method further includes computingthe CQI based, at least in part, on the determined QoS.

In one embodiment, a method includes observing traffic between a mobilestation and a base station communicating on a wireless channel. Themethod also includes identifying a QoS associated with the observedtraffic. The method further includes computing a CQI associated with theidentified QoS.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute apart of the specification, illustrate various systems, methods, andother embodiments. It will be appreciated that the illustrated elementboundaries (e.g., boxes, groups of boxes, or other shapes) in thefigures represent one example of the boundaries. In some examples oneelement may be designed as multiple elements or multiple elements may bedesigned as one element. In some examples, an element shown as aninternal component of another element may be implemented as an externalcomponent and vice versa. Furthermore, elements may not be drawn toscale.

FIG. 1 illustrates one embodiment of an apparatus associated withQoS-aware CQI computation.

FIG. 2 illustrates one embodiment of a system associated with QoS-awareCQI computation.

FIG. 3 illustrates one embodiment of a method associated with QoS-awareCQI computation.

FIG. 4 illustrates one embodiment of a method associated with QoS-awareCQI computation.

DETAILED DESCRIPTION

Described herein are example systems, methods, and apparatusesassociated with computing a QoS-aware CQI. An example wirelesscommunication apparatus (e.g., mobile station) may compute a CQI basedon a QoS the wireless communication apparatus associates with observedtraffic. Additionally, and/or alternatively, an example wirelesscommunication apparatus may compute a CQI based on a QoS specified byanother wireless communication apparatus (e.g., base station) that askedthe mobile station to compute the CQI. From one point of view, theQoS-aware CQI can be seen as a data rate required on a channel tosupport target parameter (e.g., packet delay, packet loss) requirementsfor a QoS. From this point of view, the CQI can be expressed in terms ofMCS or spectral efficiency (e.g., bits/sec/Hz). In one example, the basestation may specify several QoS for which the mobile station is tocompute a CQI. In one embodiment, a base station may reconfigure itselfbased on the QoS-aware CQI. For example, the base station may changebase station downlink scheduling, resource block, MCS, transmissionmode, beam forming (e.g., codebook, rank/layer selection), and so on.Having a base station reconfigure itself based on a QoS aware CQIfacilitates maximizing throughput while satisfying QoS differentiationrequirements. Having a base station reconfigure itself based on aQoS-aware CQI also facilitates reducing hybrid automatic repeat request(HARQ) retransmission, which in turn reduces end-to-end system latency.

The following includes definitions of selected terms employed herein.The definitions include various examples and/or forms of components thatfall within the scope of a term and that may be used for implementation.The examples are not intended to be limiting. Both singular and pluralforms of terms may be within the definitions.

AMC adaptive modulation and coding

AP access point

BE best effort

BER bit error rate

BS base station

BLER block error rate

CQI channel quality indicator

DCH dedicated channel

DSCH downlink shared channel

eNodeB enhanced node base

ERT-VR extended real time variable rate

FAC finite alphabet capacity

FACH forward access channel

HARQ hybrid automatic repeat request

HHWA handheld wireless apparatus

HSDPA high speed downlink packet access

IEEE Institute of Electrical and Electronic Engineers

LTE long term evolution

MCS modulation and coding scheme

MS mobile station

NRT-VR non real time variable rate

QoS quality of service

RSSI received signal strength indicator

RT-VR real time variable rate

SIR signal to interference ratio

SNR signal to noise ratio

SNDR signal to noise plus distortion ratio

UE user equipment

UGS unsolicited grant service

VoIP voice over internet protocol

3GPP third generation partnership project

FIG. 1 illustrates an apparatus 100 associated with QoS-aware CQIcomputation. Apparatus 100 includes CQI determination logic 110 and CQIreport logic 120. Apparatus 100 receives CQI request messages andprovides CQI report messages via a wireless channel 130.

In one embodiment, CQI determination logic 110 is configured to computea quality of service (QoS) aware CQI as a function of a QoS associatedwith wireless channel 130. Wireless channel 130 may be a channel overwhich a first wireless communication apparatus and a second wirelesscommunication apparatus communicate. The first wireless communicationapparatus and the second wireless communication apparatus maycommunicate according to protocols including, but not limited to, 3GPPLTE, IEEE 802.16 WiMax, and IEEE 802.11 WiFi. Thus, the first wirelesscommunication apparatus and the second wireless communication apparatusmay be referred to as a BS/MS pair, an eNodeB/UE pair, an AP/clientdevice pair, and in other ways. In one example, apparatus 100 is amobile station.

In one embodiment, CQI report logic 120 is configured to report theQoS-aware CQI in a CQI report message. The CQI report message may beprovided to a wireless communication apparatus that requested theQoS-aware CQI in a CQI request message. The CQI report logic 120 mayreport the CQI in a variety of ways. In one example, the CQI reportlogic 120 is configured to report the QoS-aware CQI as a modulationcoding scheme (MCS) in the CQI report message.

The CQI determination logic 110 can compute the CQI in different ways.In different embodiments the CQI determination logic 110 is configuredto compute the QoS-aware CQI as a function of data including one or moreof a signal to noise ratio (SNR) associated with the wireless channel130, a signal to interference plus noise ratio (SINR) associated withthe wireless channel 130, a signal to noise plus distortion ratio (SNDR)associated with the wireless channel 130, a path loss measurement, and afrequency selectivity and interference level. The CQI determinationlogic 110 can consider additional and/or alternative data. The CQIdetermination logic 110 can also compute the CQI using differentapproaches to processing the available information (e.g., SNR). In oneembodiment, the CQI determination logic 110 is configured to compute theQoS-aware CQI using a finite alphabet capacity (FAC) block error rate(BLER) approach.

The CQI request can take different forms and thus the CQI determinationlogic 110 may respond in different ways. In one example, the CQI requestasks the apparatus 100 to provide one CQI based on one type of trafficobserved on wireless channel 130. In this example, the CQI determinationlogic 110 computes the CQI based on a QoS associated with a single typeof traffic observed on the wireless channel.

In another example, the CQI request asks the apparatus 100 to provideone CQI based on multiple types of traffic observed on wireless channel130. In this example, the CQI determination logic 110 is configured tocompute multiple candidate CQIs using QoS parameters associated withmultiple QoSs that are associated with the multiple types of observedtraffic. Since the CQI request asks for a single CQI, the CQIdetermination logic 110 is configured to select the QoS-aware CQI fromthe candidate CQIs so that one or more communication objectives areoptimized. The QoS parameters can include, but are not limited to,packet delay, packet error loss, and block error rate at firsttransmission. The communication objectives may include, but are notlimited to, spectral efficiency on the wireless channel, end-to-endlatency between the first wireless communication apparatus and thesecond wireless communication apparatus, and throughput on the wirelesschannel. In one example, the CQI determination logic 110 selects the CQIassociated with the most stringent QoS. In other embodiments, the CQIdetermination logic 110 may select the most stringent QoS, the leaststringent QoS, the average of the two or more QoS, and so on.

In one example, the apparatus 100 receives a QoS associated with thewireless channel 130 in the CQI request message. In this example, theCQI determination logic 110 computes the CQI as a function of thatreceived QoS.

In another example, the apparatus 100 receives a plurality of QoSassociated with the wireless channel 130 in the CQI request message. Inthis example, the CQI determination logic 110 is configured to compute aplurality of QoS-aware CQI corresponding to the plurality of QoS. In oneexample, one CQI is computed for each QoS. Since the CQI determinationlogic 110 may compute multiple CQI, the CQI report logic 120 may beconfigured to provide the plurality of QoS-aware CQI in the CQI reportmessage.

Thus, to summarize, in one embodiment, the CQI determination logic 110may be configured to perform one or more of: determining the QoSassociated with the wireless channel 130 by observing a single type oftraffic between the first wireless communication apparatus and thesecond wireless communication apparatus on the wireless channel;determining the QoS associated with the wireless channel 130 byidentifying two or more QoS associated with two or more types of trafficobserved on the wireless channel 130 and selecting a member of the twoor more QoS that is the most stringent of the two or more QoS;determining the QoS-aware CQI as a function of a single QoS provided inthe CQI request message; and determining a plurality of QoS-aware CQI asa function of a plurality of QoS provided in the CQI request message.

FIG. 2 illustrates a system 200 that includes apparatus 100 andapparatus 200. Apparatus 100 includes a CQI determination logic 110 anda CQI report logic 120. Apparatus 200 includes a QoS provisioning logic210. Apparatus 100 and apparatus 200 communicate via wireless channel130.

In one example, the CQI determination logic 110 is configured to controlthe QoS provisioning logic 210 by providing the QoS-aware CQI. The QoSprovisioning logic 210 can be controlled to perform actions including,but not limited to, QoS provisioning for an uplink between apparatus 100and the apparatus 200, QoS provisioning for a downlink between apparatus100 and apparatus 200, QoS provisioning for a peer-to-peer communicationbetween apparatus 100 and apparatus 200, scheduling in apparatus 100,scheduling in apparatus 200, resource block allocation in apparatus 100,resource block allocation in apparatus 200, a transmission mode inapparatus 100, a transmission mode in apparatus 200, beam forming inapparatus 100, and beam forming in apparatus 200.

From one point of view, FIG. 2 can be viewed as illustrating a mobilestation (MS) 100 configured to provide a QoS-aware CQI computed as afunction of one or more of, a QoS determined by mobile station 100, anda QoS provided to mobile station 100 by base station 200, and a basestation 200 configured to control QoS-provisioning based on theQoS-aware CQI provided by the mobile station 100. While BS/MSterminology is employed, a QoS-aware CQI can be requested, computed, andprovided in different environments and thus more generally FIG. 2illustrates an apparatus 100 and an apparatus 200.

FIG. 3 illustrates a method 300 associated with QoS-aware CQIcomputation. At 310, method 300 includes receiving, in an mobilestation, a CQI request from a base station. The CQI request may requestdifferent things. For example, the CQI request may ask the mobilestation to provide a single CQI based on a single QoS that the mobilestation identifies as being associated with traffic observed on awireless channel between the base station and the mobile station. TheCQI request may also ask the mobile station to provide a single CQIselected from multiple CQI computed based on multiple QoS associatedwith multiple types of traffic observed on the wireless channel. The CQIrequest may also ask the mobile station to provide a single CQI based onan explicit QoS provided by the base station or to provide multiple CQIbased on multiple explicit QoS provided by the base station.

Therefore, at 320, a determination is made concerning whether the CQIrequest seeks (i) a single CQI computed by the mobile station, (ii) thatthe CQI request does not specify a QoS, and (iii) that the mobilestation is to base the single CQI on a single observed traffic type. Ifthe determination at 320 is yes, then at 322 a current QoS associatedwith the single observed traffic type is identified and a QoS-aware CQIis computed based on the current QoS. At 324 the QoS-aware CQI isreported to the base station. The QoS-aware CQI may be reported in a CQIreport message.

At 330, a determination is made concerning whether the CQI request seeks(i) a single CQI computed by the mobile station, (ii) that the CQIrequest does not specify a QoS, and (iii) that the mobile station is tobase the single CQI on two or more observed traffic types. If thedetermination at 330 is yes, then at 332 two or more current QoSassociated with the two or more observed traffic types are identifiedand two or more QoS-aware CQI are computed based on the two or morecurrent QoS. Since the base station asked for just one CQI, computingthe one CQI at 332 also includes selecting a QoS-aware CQI from the twoor more QoS-aware CQI. The selected QoS is selected to satisfy aselection criterion. The selection criterion may be designed, forexample, to select the most stringent QoS, to select the least stringentQoS, to select the average QoS, and so on. At 334, the selectedQoS-aware CQI is provided to the base station.

At 340, a determination is made concerning whether the CQI request seeksa single CQI computed by the mobile station in response to a singleexplicit QoS specified by the base station. If the determination at 340is yes, then at 342, a QoS-aware CQI based on the single explicit QoSspecified by the base station is computed. At 344, the single QoS-awareCQI is provided to the base station.

At 350, a determination is made concerning whether the CQI request seeksmultiple CQIs computed by the mobile station in response to multipleexplicit QoS specified by the base station. If the determination at 350is yes, then at 352, multiple CQI corresponding to the multiple explicitQoS specified by the base station are computed. At 354, the multiple CQIare provided to the base station in a CQI report.

Computing a CQI at 322, 332, 342, and/or 352 can be performed indifferent ways. In one example, computing a QoS-aware CQI involvescomputing a finite alphabet capacity (FAC) based on QoS constraints andthe effects of hybrid automatic repeat request (HARQ) retransmission.

FIG. 4 illustrates another embodiment of method 300. This embodimentgeneralizes the processing described for 320 through 354 as computing aCQI(s) at 360 and reporting a CQI(s) at 370. This embodiment of method300 also includes, at 380, controlling QoS differentiation. When a basestation provides a CQI request to an mobile station, and the mobilestation provides a QoS-aware CQI, the QoS-aware CQI can be used tocontrol the base station to selectively provision QoS differentiation asa function of a QoS-aware CQI received from the mobile station. Whilecontrolling the base station is described, the method can be appliedmore generally. For example, a receiver of the QoS-aware CQI can baseactions on the QoS-aware CQI. In different embodiments, the receiver cantake actions including, but not limited to, QoS provisioning for anuplink between two apparatuses, QoS provisioning for a downlink betweentwo apparatuses, QoS provisioning for a peer-to-peer communicationbetween two apparatuses, scheduling in an apparatus, resource blockallocation in an apparatus, updating a transmission mode in anapparatus, and beam forming in an apparatus.

References to “one embodiment”, “an embodiment”, “one example”, “anexample”, and so on, indicate that the embodiment(s) or example(s) sodescribed may include a particular feature, structure, characteristic,property, element, or limitation, but that not every embodiment orexample necessarily includes that particular feature, structure,characteristic, property, element or limitation. Furthermore, repeateduse of the phrase “in one embodiment” does not necessarily refer to thesame embodiment, though it may.

“Logic”, as used herein, includes computer or electrical hardware,firmware, a non-transitory computer readable medium with storedinstructions, and/or combinations of each to perform a function(s) or anaction(s), and/or to cause a function or action from another logic,method, and/or system. Logic may include a microprocessor programmedwith an algorithm, a discrete logic (e.g., ASIC), an analog circuit, adigital circuit, a programmed logic device, a memory device containinginstructions, and so on. Logic may include one or more gates,combinations of gates, or other circuit components. Where multiplelogics are described, it may be possible to incorporate the multiplelogics into one physical logic. Similarly, where a single logic isdescribed, it may be possible to distribute that single logic betweenmultiple physical logics. One or more of the components and functionsdescribed herein may be implemented using one or more of the logicelements. Logic is limited to statutory subject matter under 35 U.S.C.§101.

While for purposes of simplicity of explanation, illustratedmethodologies are shown and described as a series of blocks. Themethodologies are not limited by the order of the blocks as some blockscan occur in different orders and/or concurrently with other blocks fromthat shown and described. Moreover, less than all the illustrated blocksmay be used to implement an example methodology. Blocks may be combinedor separated into multiple components. Furthermore, additional and/oralternative methodologies can employ additional, not illustrated blocks.The methods described and claimed are limited to statutory subjectmatter under 35 U.S.C. §101.

To the extent that the term “includes” or “including” is employed in thedetailed description or the claims, it is intended to be inclusive in amanner similar to the term “comprising” as that term is interpreted whenemployed as a transitional word in a claim.

To the extent that the phrase “one or more of, A, B, and C” is employedherein, (e.g., a data store configured to store one or more of, A, B,and C) it is intended to convey the set of possibilities A, B, C, AB,AC, BC, and/or ABC (e.g., the data store may store only A, only B, onlyC, A&B, A&C, B&C, and/or A&B&C). It is not intended to require one of A,one of B, and one of C. When the applicants intend to indicate “at leastone of A, at least one of B, and at least one of C”, then the phrasing“at least one of A, at least one of B, and at least one of C” will beemployed.

While example systems, methods, and so on have been illustrated bydescribing examples, and while the examples have been described inconsiderable detail, it is not the intention of the applicants torestrict or in any way limit the scope of the appended claims to suchdetail. It is, of course, not possible to describe every conceivablecombination of components or methodologies for purposes of describingthe systems, methods, and so on described herein. Therefore, thedisclosure is not limited to the specific details, the representativeapparatus, and illustrative examples shown and described. Thus, thisapplication is intended to embrace alterations, modifications, andvariations that fall within the scope of the appended claims.

What is claimed is:
 1. An apparatus, comprising: a non-transitorycomputer medium storing a determination logic, wherein the determinationlogic is configured to: receive a request for a channel qualityindicator (CQI); identify two or more QoSs associated with two or moretypes of traffic observed on a wireless channel; select a member of thetwo or more QoSs that is the most stringent of the two or more QoSs; andcompute the CQI based, at least in part, on the selected QoS.
 2. Theapparatus of claim 1, wherein a first wireless device and a secondwireless device communicate over the wireless channel.
 3. The apparatusof claim 1, wherein the determination logic is configured to: compute aplurality of candidate CQIs; and select a CQI from the candidate CQIs.4. The apparatus of claim 1, wherein the determination logic isconfigured to compute the CQI based, at least in part, on a QoS providedin the request.
 5. The apparatus of claim 1, wherein the determinationlogic is further configured to report the computed CQI to a wirelessdevice on the wireless channel.
 6. The apparatus of claim 1, wherein thedetermination logic is configured to control, based on the computed CQI,a provisioning logic to perform provisioning.
 7. An apparatuscomprising: a non-transitory computer medium storing a determinationlogic, wherein the determination logic is configured to: receive arequest for a channel quality indicator (CQI); determine a quality ofservice (QoS) associated with a wireless channel on which to base theCQI, wherein the QoS is determined by observing a single type of trafficon the wireless channel; and compute the CQI based, at least in part, onthe determined QoS; wherein the determination logic is configured tocompute a plurality of candidate CQIs based, at least in part, on aplurality of QoSs provided in the request; and wherein the determinationlogic is configured to select one of the candidate CQIs based on aselection criterion that identifies an average of the plurality of QoSs.8. The apparatus of claim 7, wherein a first wireless device and asecond wireless device communicate over the wireless channel.
 9. Theapparatus of claim 7, wherein the determination logic is configured to:compute a plurality of candidate CQIs; and select a CQI from thecandidate CQIs.
 10. The apparatus of claim 7, wherein the determinationlogic is configured to compute the CQI based, at least in part, on a QoSprovided in the request.
 11. The apparatus of claim 7, wherein thedetermination logic is further configured to report the computed CQI toa wireless device on the wireless channel.
 12. The apparatus of claim 7,wherein the determination logic is configured to control, based on thecomputed CQI, a provisioning logic to perform provisioning.
 13. Theapparatus of claim 12 wherein the provisioning logic is configured toallocate resource blocks in a wireless device operating on the wirelesschannel.
 14. A method of comprising: receiving a request for a channelquality indicator (CQI); observing a type of traffic on a wirelesschannel; determining a quality of service (QoS) associated with thewireless channel on which to base the CQI, wherein the QoS is based, atleast in part, on the traffic observed on the wireless channel; andcomputing the CQI based, at least in part, on the determined QoS;wherein computing a CQI comprises: computing a plurality of candidateCQIs based, at least in part, on a plurality of QoSs provided in therequest; and selecting one of the candidate CQIs based on a selectioncriterion that identifies an average of the plurality of QoSs.
 15. Themethod of claim 14, wherein determining the QoS comprises: identifyingtwo or more QoSs associated with two or more types of traffic observedon the wireless channel; and selecting a member of the two or more QoSsthat is the most stringent of the two or more QoSs.
 16. A method,comprising: observing traffic between a mobile station and base stationcommunicating on a wireless channel; identifying a quality of service(QoS) associated with the observed traffic, wherein identifying the QoScomprises: identifying two or more QoSs associated with two or moretypes of traffic observed on the wireless channel; and selecting amember of the two or more QoSs that is the most stringent of the two ormore QoSs; and computing a channel quality indicator (CQI) based, atleast in part, on the selected QoS.
 17. The method of claim 16, furthercomprising: reconfiguring a provisioning between the mobile station andthe base station based, at least in part, on the computed CQI.
 18. Themethod of claim 17, wherein reconfiguring the provisioning comprisesreallocating resource blocks.
 19. The method of claim 17, whereinreconfiguring the provisioning comprises updating a transmission mode.20. The method of claim 16, wherein computing the CQI comprisescomputing a finite alphabet capacity based, at least in part, on QoSconstraints.